Alternatives and similar repositories for DATM

Users that are interested in DATM are comparing it to the libraries listed below

• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated 7 months ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆128Updated 6 months ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆69Updated 2 months ago
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆90Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆59Updated this week
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• yolky / RCIG
  ☆14Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆29Updated 2 years ago
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated 7 months ago
• NUS-HPC-AI-Lab / R-MeeTo
  Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token …
  ☆39Updated 4 months ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• NUS-HPC-AI-Lab / Dynamic-Tuning
  The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"
  ☆46Updated 4 months ago
• princetonvisualai / multimodal_dataset_distillation
  ☆56Updated 4 months ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆84Updated last year
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆47Updated 2 years ago
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆20Updated 5 months ago
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆37Updated 7 months ago
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆259Updated last year
• princetonvisualai / What-is-Dataset-Distillation-Learning
  ☆16Updated 11 months ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆182Updated last year
• ichbill / LTDD
  Official Implementation of paper "Distilling Long-tailed Datasets"
  ☆14Updated 2 months ago
• ROIM1998 / APT
  [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
  ☆39Updated 11 months ago
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆33Updated 10 months ago
• suduo94 / D4M
  A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
  ☆31Updated 8 months ago
• GeorgeCazenavette / glad
  ☆114Updated last year
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆24Updated last year
• BAAI-DCAI / Dataset-Pruning
  Dataset pruning for ImageNet and LAION-2B.
  ☆79Updated 10 months ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆65Updated 2 years ago
• kaiwang960112 / CAFE
  This is a method of dataset condensation, and it has been accepted by CVPR-2022.
  ☆69Updated last year